finding-brand-collaborations-on-tiktok

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

Finding Brand Collaborations on TikTok

在TikTok上查找品牌合作

Maps active brand-creator partnerships in a product category. Identifies which brands are investing in TikTok influencer marketing, which creators they're working with, and the performance benchmarks for sponsored content.

梳理某一产品品类中活跃的品牌-创作者合作关系，识别哪些品牌正在投入TikTok网红营销、他们合作的创作者是谁，以及赞助内容的表现基准。

Prerequisites

前提条件

```
APIFY_TOKEN
```
environment variable set
Optional: Apify MCP server installed

已设置
```
APIFY_TOKEN
```
环境变量
可选：安装Apify MCP服务器

Inputs

输入参数

Parameter	Type	Required	Default	Notes
`startUrls`	array	Optional	`[]`	TikTok URLs — user profiles, hashtags, music pages, search, locations
`keywords`	array	Optional	`[]`	Search keywords/terms to find posts
`sortType`	string	Optional	`RELEVANCE`	Sort order for keyword results: `RELEVANCE` , `MOST_LIKED` , `DATE_POSTED`
`location`	string	Optional	—	ISO 3166-1 alpha-2 country code for regional filtering (e.g. `US` , `GB` )
`maxItems`	number	Optional	Unlimited	Maximum posts to return across the run
`includeSearchKeywords`	boolean	Optional	`false`	Add the matched search keyword field to each post
`customMapFunction`	string	Optional	—	JavaScript function to transform each output object

参数	类型	是否必填	默认值	说明
`startUrls`	数组	可选	`[]`	TikTok链接 — 用户主页、话题标签、音乐页面、搜索结果、地点页面
`keywords`	数组	可选	`[]`	用于查找帖子的搜索关键词/术语
`sortType`	字符串	可选	`RELEVANCE`	关键词结果的排序方式： `RELEVANCE` （相关性）、 `MOST_LIKED` （最受欢迎）、 `DATE_POSTED` （发布日期）
`location`	字符串	可选	—	用于区域过滤的ISO 3166-1 alpha-2国家代码（例如 `US` 、 `GB` ）
`maxItems`	数字	可选	无限制	运行过程中返回的最大帖子数量
`includeSearchKeywords`	布尔值	可选	`false`	为每个帖子添加匹配的搜索关键词字段
`customMapFunction`	字符串	可选	—	用于转换每个输出对象的JavaScript函数

Workflow

工作流程

Progress:
- [ ] Step 1: Search sponsored content hashtags for category
- [ ] Step 2: Filter for sponsored signals
- [ ] Step 3: Extract brand and creator pairs
- [ ] Step 4: Analyze collaboration patterns
- [ ] Step 5: Deliver brand-creator map

Progress:
- [ ] Step 1: Search sponsored content hashtags for category
- [ ] Step 2: Filter for sponsored signals
- [ ] Step 3: Extract brand and creator pairs
- [ ] Step 4: Analyze collaboration patterns
- [ ] Step 5: Deliver brand-creator map

Step 1: Search Posts

步骤1：搜索帖子

Recommended — run_actor.js (handles waiting, output, and file saving automatically):

bash

undefined

推荐使用 — run_actor.js（自动处理等待、输出和文件保存）：

bash

undefined

Quick answer (prints table to chat)

node scripts/run_actor.js
--actor "apidojo~tiktok-scraper"
--input '{"param": "value"}'

Save as CSV

node scripts/run_actor.js
--actor "apidojo~tiktok-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.csv --format csv

Save as JSON

node scripts/run_actor.js
--actor "apidojo~tiktok-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.json --format json

> `APIFY_TOKEN` must be set in environment or `.env` file.

**If Apify MCP is available:**

Tool: apify:run-actor Actor: "apidojo~tiktok-scraper" Input: { "keywords": ["#ad", "#sponsored", "#[category]partner", "#[category]collab"], "keywords": ["[BRAND_NAME] sent", "use code", "thanks to [CATEGORY] brand"], "maxItems": 300 }


**REST API fallback:**
```bash
curl -X POST   "https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=$APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{
    "keywords": ["#ad", "#sponsored", "#fitnesspartner"],
    "maxItems": 300
  }'

node scripts/run_actor.js
--actor "apidojo~tiktok-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.json --format json

> 必须在环境变量或`.env`文件中设置`APIFY_TOKEN`。

**如果Apify MCP可用：**


**REST API备选方案：**
```bash
curl -X POST   "https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=$APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{
    "keywords": ["#ad", "#sponsored", "#fitnesspartner"],
    "maxItems": 300
  }'

Step 2: Extract Brand-Creator Pairs

步骤2：提取品牌-创作者配对信息

From each sponsored post, extract:

brand_name

: From caption mention (

@[brand]

[Brand] sent me

thanks to [Brand]

)

```
creator_handle
```
:
```
authorMeta.name
```
```
post_views
```
:
```
playCount
```
```
post_date
```
:
```
createTime
```
```
collaboration_type
```
:
```
#gifted
```
(product seeding) vs.
```
#ad
```
/
```
#sponsored
```
(paid)

从每个赞助帖子中提取以下内容：

brand_name

：来自标题提及（

@[brand]

、

[Brand] sent me

、

thanks to [Brand]

）

```
creator_handle
```
：
```
authorMeta.name
```
```
post_views
```
：
```
playCount
```
```
post_date
```
：
```
createTime
```
```
collaboration_type
```
：
```
#gifted
```
（产品赠送） vs
```
#ad
```
/
```
#sponsored
```
（付费）

Step 3: Score Campaign Performance

步骤3：评估营销活动表现

sponsored_performance = playCount / 1000 (views in thousands)
creator_roi_proxy = playCount / followerCount  (view-to-follower ratio for sponsored post)

Brand collaboration frequency per creator:

collab_depth = count(posts where same brand appears) / total_posts_in_date_range

sponsored_performance = playCount / 1000 (views in thousands)
creator_roi_proxy = playCount / followerCount  (view-to-follower ratio for sponsored post)

创作者的品牌合作频次：

collab_depth = count(posts where same brand appears) / total_posts_in_date_range

Step 4: Edge Cases

步骤4：边缘情况

No #ad hashtag but clearly sponsored: Also scan for
```
"gifted"
```
,
```
"c/o"
```
,
```
"partnership"
```
in caption; TikTok disclosure is inconsistently applied
Brand name ambiguous (e.g. "Nike" in sports context): Verify by checking if creator's bio mentions brand partnership or if post has dedicated product showcase format
< 20 sponsored posts found: Category may be under-sponsored on TikTok; check if brands are using darker patterns (no disclosure) — widen search to product names alone

无#ad标签但明显为赞助内容：同时扫描标题中的
```
"gifted"
```
、
```
"c/o"
```
、
```
"partnership"
```
；TikTok的披露规则执行并不一致
品牌名称模糊（例如体育语境中的“Nike”）：通过检查创作者简介是否提及品牌合作，或帖子是否采用专门的产品展示格式来验证
找到的赞助帖子少于20条：该品类在TikTok上的赞助可能较少；检查品牌是否使用隐蔽模式（不披露）——将搜索范围扩大至仅产品名称

Output Format

输出格式

undefined

undefined

TikTok Brand Collaboration Map: [CATEGORY]

Posts analyzed: [N] | Sponsored posts identified: [N] | Unique brands: [N] | Date: [DATE]

Brands Running Active TikTok Campaigns

Brand	# Creators Used	# Posts	Avg Views/Post	Collaboration Type
[brand]	[N]	[N]	[N]	[Gifted/Paid/Mixed]

Brand	# Creators Used	# Posts	Avg Views/Post	Collaboration Type
[brand]	[N]	[N]	[N]	[Gifted/Paid/Mixed]

Creator-Brand Pairs

Creator	@Handle	Brand	Posts	Avg Views	Collab Type	Est. Reach
[name]	@[handle]	[brand]	[N]	[N]	[Gifted/Paid]	[N]

Creator	@Handle	Brand	Posts	Avg Views	Collab Type	Est. Reach
[name]	@[handle]	[brand]	[N]	[N]	[Gifted/Paid]	[N]

Benchmark: Sponsored Post Performance in [CATEGORY]

Median views for sponsored posts: [N]
Top-performing brand campaign: [brand] — [N] avg views
Most-used creator tier: [micro/macro/mega]

undefined

Median views for sponsored posts: [N]
Top-performing brand campaign: [brand] — [N] avg views
Most-used creator tier: [micro/macro/mega]

undefined

Troubleshooting

故障排除

Disclosure data sparse: TikTok doesn't always surface

#ad

in scraped captions. Check for brand mentions in text and product codes. Results outside the category: Refine search by combining

#ad

with a niche keyword:

"#ad #fitness"

"#sponsored #skincare"

. Can't find competitor campaigns: If competitor avoids disclosure, search for their brand @mention directly in TikTok search.

披露数据稀少：TikTok并不总是在爬取的标题中显示

#ad

。检查文本中的品牌提及和产品代码。 结果超出目标品类：通过将

#ad

与细分关键词结合来优化搜索：

"#ad #fitness"

或

"#sponsored #skincare"

。 无法找到竞品营销活动：如果竞品避免披露，直接在TikTok搜索中搜索他们的品牌@提及。